Effects of Artificial Intelligence on Software Development

Aditya Chakurkar | August 23, 2021 | 284 views

AI in software development
What’s the core of those drone-supported Amazon deliveries, online food orders, the ability to watch your favorite shows on Netflix, and virtually augmented monitoring of your upcoming trip to Disneyland?

Software!

They constitute a significant part of almost every evolution we see around us. But how are the developers managing to yield so much from computer programming? How are they able to enrich so many lives through their creations all over the world?

The answer is simple — Artificial intelligence (AI). Undoubtedly, AI is one of the leading technologies now, and it has the power to transform every bit of any business’ functionality.

The software industry is not behind in making the most of AI and delivering intelligent and intelligent software. On the contrary, modern enterprises are convinced to adopt an entirely new software development paradigm to stand out from the competition.

Traditionally, machine learning was predominant in the Software Development Lifecycle (SLDC). Even though it could encode numerous tasks in a computer program, it took relatively more time to be finalized. It required developers to put the exact requirements together first and hand them over to engineers. And then, engineers programmed the code accordingly.

However, AI came with its advantages. As a result, it is reshaping the modern world of automated testing, Agile test software, and ultimately the entire software development. So if you see bots accompanying computer programs to make software development even easier, faster, and smarter in the future, it will be because of AI.

So if you are already thinking of potential changes AI will bring to your software development process and how you can reap all the benefits of AI software development, stay tuned!

Area of AI Software Development

Artificial intelligence has a significant impact on various aspects of software development, for example, software testing, coding, designs, etc.

Let’s now discuss what role AI will play in the current and future of software technologies by reshaping the major software development areas.

Software Design Process will Improve

Designing software is one of the most complicated and error-prone stages of software development. Therefore, specialized skills and the right experience are crucial for designing and planning software development projects to come up with an absolute solution.

Moreover, the software designs are mostly subjected to dynamic changes as clients may suggest changes in different stages of software development. AI-powered systems such as AIDA (Artificial Intelligence Design Assistant) can eliminate such complexities in the design process.

Time & Money Saving Software Testing

Traditionally, software testing takes a lot of time, especially when there are changes in the source code. Plus, it's costly, too! But in the end, it’s one of the essential software development stages as it ensures product quality. Therefore, there’s no room for error.

Thankfully, there’s AI and a variety of software testing tools. Testers can utilize them to develop test cases and carry out regression testing. This kind of automated testing is relatively faster, smarter, and astonishingly time and money-saving. On top of all, it's error-free!

Easy Data Gathering and Analysis

Data gathering and data analysis are the most fundamental stage of any software development lifecycle and need a significant amount of human intervention. The project team has to come up with all the information necessary for the software development, and clients' input can be dynamic.

Automated data gathering through various AI tools such as Google ML Kit can be the best option to ease the process. It can take care of specific data-gathering processes without the need for significant human intervention.

Say Bye to Manual Code Generation

Generating huge codes requires a lot of labor, time, and money. Therefore, simplifying the code generation process is significant because code writing is crucial for any software development life cycle.

While traditional code generation can fall short in identifying the target goals effectively, automated code generation can be a game-changer. This is because AI tools typically generate snippets of reusable codes and write code lines as instructed. As a result, they save a substantial amount of money, labor, and time.

Benefits of Artificial Intelligence in Software Development

Incorporating artificial intelligence in software development can do wonders. Considering the incredible impact of AI on software development and the possibility of incredible transformations in the future software technologies due to AI, here are some promising benefits of AI software development.
  • Enhanced accuracy in estimates
  • Conceptual decision making
  • Error-free end product
  • Easy bugs and error detection
  • Improved data security

Conclusion

The software development landscape is rapidly changing, and AI has a lot to do with it. Being an enterprise, you need to understand the benefits of AI and how it is enriching human lives worldwide.

It's hard to deny the tremendous pressure on the current software development industry from the demand for applications. However, it’s one of the fastest-growing industries, and AI can simplify it with secure, unique, and scalable solutions. Unquestionably, AI software development is the future, and adopting it is the best decision enterprises can make.

Frequently Asked Questions

What are the things to consider when adopting AI for software development?

It would help if you consider the following factors to reach new heights with AI software development:
  • Cloud is necessary for AI
  • AI solutions are much more than implementing machine learning algorithm
  • AI is near real-time or real-time
  • Big data is required for AI
  • Machine learning-powered AI solitons may need frequent retraining


What are the real-world examples of integrating AI into software development?

Here are some examples of AI tools that several organizations are using for efficient AI software development:
  • Deep Code
  • Stack Overflow AutoComplete
  • Google Bugspot Tool w3C

What are the top machine learning and AI tools software developers should consider?

Generally, Machine learning software, Deep Learning software, AI platforms, and Chatbots are the four major types of software. Apart from the tools mentioned above, developers should consider the following AI tools for the enhancement of software development:
  • Google Cloud’s AutoML Engine
  • Kite
  • AIDA
  • Testim.io
  • IBM Watson
  • Amazon Alexa
  • Cortana
  • TensorFlow
  • Azure Machine Learning Studio

Spotlight

Ubisecure

Ubisecure is a pioneering European Customer Identity & Access Management (CIAM) software provider and cloud identity services enabler. We provide a powerful Identity Platform to connect customer digital identities with customer-facing SaaS and enterprise applications in the cloud and on-premise.

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8 Epic App Innovations that Help Your Business Stand Out

Article | July 20, 2022

Contents 1. The Market for Mobile Application Development 2. Innovations in Mobile Application Development 2.1 In-App Paid Features: Android and iOS Development 2.2 Augmented and Virtual Reality 2.3 Beacon Technology 2.4 Al and Ml 2.5 Wearables 2.6 Predictive Analytics 2.7 Blockchain Technology 2.8 On-Demand Applications 3. Long-Term Benefits of Mobile App Development Innovations for Your Small Business: 4. Tying Everything Together Increased use of the internet and smartphones demands better mobile applications be developed. Innovation is the key driving force that can make or break the market regarding mobile app development. A fantastic team of mobile app developers and smart innovation employing the latest technology produce a huge hit app. Let us learn more about how the mobile app development market grows. 1. The Market for Mobile Application Development The mobile application development market is projected to grow at a 13.4% CAGR from 2023 to 2030, with a value of $187.58 billion recorded in 2021. This is due to the increased use of the internet and smartphone platforms, as well as artificial intelligence and machine learning. The app's algorithms learn and understand user interests to deliver refined results that generate better user engagement. As Ericsson and the Radicati Group forecasted, 6.64 billion people own a smartphone today, which is around 83.32% of the world population, and by 2025, 7.33 billion people will own a smartphone. As a result, there is a substantial rise in demand for better smartphone apps, for which creative and innovative mobile application development is the need of the hour. Innovation will give your business a competitive edge it's never had before. It will also open up new ways to grow your business. Discover the top innovations in mobile app development. 2. Innovations in Mobile Application Development Some of the technological breakthroughs in mobile app development will greatly improve the user experience in the future. These focus mainly on the implementation of the latest technological innovations to realize functionality that has never been seen or done before. Let us now delve into their specifics. 2.1 In-App Paid Features: Android and iOS Development While Android has a market share of 70%, iOS has grabbed a market share of around 28% in the mobile operating systems market as of 2022. In-app advertising and in-app purchases generate the major ROI from mobile applications on both mobile operating platforms. A great UI and UX go a long way toward boosting your app and business, and they also help you rank highly in the respective app markets, i.e., the Google Play Store and the App Store. Rolling out constant updates and adhering to the security standards of the marketplace keeps your business app ranking at the top. 2.2 Augmented and Virtual Reality With the AR kit, you can design and make 3D mobile apps for your customers that use virtual reality. AR and VR are constantly changing the business of making mobile apps. You can use these trends to give mobile users really great experiences. A few of the sectors making successful use of these technologies include gaming, e-commerce, retail, interior design, real estate, tourism and travel, education, training, healthcare, manufacturing and construction, advertising and marketing, and entertainment. Your AR and VR mobile apps are more valuable if you can meet your expectations for maximum ROI with a minimum budget. You can do this by making constant improvements to your minimum viable product. 2.3 Beacon Technology The beacon technology uses a smartphone's Bluetooth to identify any store, museum, or other business in the vicinity. As mobile devices get more powerful, IoT and edge sensors will be used more and more. Because of that, beacon technology will change the way we interact with the world. This technology sends notifications to your customer’s phone about your product when the customer passes by, sends content and descriptions about an ongoing event at your location to your customers, and more. Proximity marketing and indoor navigation notifications are the few ways retail is using this technology. With the help of beacon technology, your business can track assets, keep track of contacts, offer access to loyalty programs, gather advanced data, and send mobile tickets. 2.4 Al and ML The versatility and power of innovations in Al and ML keep them relevant. For example, they let you turn pictures into animations that look real. These animations provide real-time analytics and other valuable insights. As an AI learns from its own experience, providing a better customer experience based on the data you feed it helps create intelligent chatbots. Personalized shopping assistance, fraud prevention, task automation, smart content, voice assistants, and autonomous vehicles are a few of the examples where you will see AI implemented. An AI trains itself through machine learning, or ML. ML forecasts future data trends using available historical data. This invaluable addition to your existing apps transforms the way they interact with customers. We are one step closer to a super-personalized experience. 2.5 Wearables Wearables let you make calls, find your way to your destination, measure and analyze your vital signs in real time, and look at your own personal insights. So, app developers and businesspeople should focus on making apps that give people who use wearables a great digital experience. Getting better apps for wearable devices can greatly enhance their functionality and the user experience. From listening to your favorite music to tracking your fitness goals, taking notes, finding a parking spot, and adhering to your health and fitness regimen, a wearable device does it all. If developing your company’s wearable app delivers more value, this technology is not just a game changer but a lifesaver for many. 2.6 Predictive Analytics Predictive analytics is essential to e-commerce. When it comes to making mobile apps, predictive analysis can help improve both the process and the user experience. By putting together information from many developers, it can help predict problems and suggest solutions. Your predictive analytics will be better if you use artificial intelligence (AI), data mining, machine learning, modeling, and statistics. The data that your small and medium-scale businesses have gathered over a period of time becomes one of the most valuable sources of information that helps predict and forecast future market trends. Unexplained market rises and falls will now have an explanation, as will mobile apps that can precisely tell what, when, and where needs to be changed, replaced, or repaired. Using constants and variables that are already known, predictive analytics and data modeling can help make accurate predictions about the future. 2.7 Blockchain Technology The world of blockchain has innumerable possibilities. Applications backed by blockchain technology benefit from end-to-end encryption. This means no one but you can retain data ownership rights. Blockchain technology is used for a lot of important communication and financial transactions because it is safe and private. Blockchain holds promise for better efficiency, productivity, and performance, as well as for elevating the user experience. Blockchain is more secure and reliable, offers better transparency in financial transactions, makes you go password-free using an SSL certificate (Secure Sockets Layer), promotes simplicity, protects your identity, safeguards access to your digital data and information, and helps transmit and receive accurate data with the help of balanced data transfer using several nodes at once. 2.8 On-Demand Applications As lockdowns and quarantines went on for a long time, many delivery apps started to appear. There were apps for taxis, grocery stores, and even medicine delivery. The on-demand model is likely to grow as more service-based companies shift their focus towards on-demand apps. Technology is always changing, and every year, new versions of technology hit the market. That's why we need to keep up with the latest updates and use them to make applications that are both new and full of features. That's a must for a successful launch of a mobile app. Making the software development process easy for the developers reduces the time it takes to develop applications using the software. There are options like rapid application development software, no code, and low-code application development software. These can include mobile app development, SaaS (software as a service), cloud apps, on-premise standalone apps, desktop apps, and web-based apps for many devices, including IoT devices. Using AI to power the application development process speeds up development, testing, and deployment, which helps a lot with scaling from small to medium to large and beyond. 3. Long-Term Benefits of Mobile App Innovations for Your Small Business: Creating a winning product doesn’t have to be a long process. Improvements on the product offered by competitors and finding competitor product shortcomings, along with using innovative technologies, help add value to your mobile app as a product. Mobile app development innovations help in many ways, such as: Improve your brand's relationship with your customers Offer 24/7 access to your business Get excellent customer insights Efficiently market your product online Save on additional marketing costs Boost employee efficiency by increasing engagement Improve communication shreds down the busy work and Streamline the data Generate a new revenue stream from ads targeted at in-app purchases. As a result, you meet customer expectations efficiently, allowing you to expand your business and attract potential customers. Your customers and potential customers are always looking for something new and exciting to experience and adopt. Sooner or later, they make habits of seeing something, and then they start thinking of that mobile app as a standard benchmark to look up to. Talking about the scalability of a mobile application, there is a lot of scope to improve using innovative technologies, and all minor to major updates take you from where you are to where you want to be. Finding the right mix of technologies will help your business grow and expand. 4. Tying Everything Together Business growth for small-scale businesses starts with new inputs and strategic technological investments in mobile app development. Although they sound promising, striking the right balance to implement innovative technologies relies heavily on rigorous predictive analysis. Tools and technologies help meet customer expectations at scale and grow the business beyond imagination with the power of innovation.

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Empowering Industry 4.0 with Artificial Intelligence

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The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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Cogito Announces Innovations in Real-time Conversation Intelligence for Contact Centers

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